Alternatives and similar repositories for NeurIPS-2023-HANG-Robustness

Users that are interested in NeurIPS-2023-HANG-Robustness are comparing it to the libraries listed below

• NineAbyss / ZeroG
  The official implement of SIGKDD'24 paper: ZeroG: Investigating Cross-dataset Zero-shot Transferability in Graphs
  ☆34Updated last year
• yongduosui / AIA
  [NeurIPS 2023] "Unleashing the Power of Graph Data Augmentation on Covariate Distribution Shift" by Yongduo Sui, Qitian Wu, Jiancan Wu, Q…
  ☆17Updated last year
• RingBDStack / EAGLE
  Code for "Environment-Aware Dynamic Graph Learning for Out-of-Distribution Generalization (EAGLE)"
  ☆24Updated 2 years ago
• zjs123 / DTGB
  Comprehensive Benchmark Dataset for Dynamic Text-Attributed Graphs
  ☆40Updated 11 months ago
• UB-GOLD / UB-GOLD
  ICLR25_Unifying Unsupervised Graph-Level Out-of-Distribution Detection and Anomaly Detection: A Benchmark
  ☆62Updated 2 months ago
• zhongjian-zhang / LLM4RGNN
  A PyTorch implementation of "Can Large Language Models Improve the Adversarial Robustness of Graph Neural Networks?" (KDD 2025)
  ☆26Updated 4 months ago
• yushundong / PyGDebias
  Open-source Library PyGDebias: Graph Datasets and Fairness-Aware Graph Mining Algorithms
  ☆65Updated last year
• QueuQ / CGLB
  ☆59Updated 11 months ago
• cshhzhao / GCOPE
  Official implementation of 'All in One and One for All: A Simple yet Effective Method towards Cross-domain Graph Pretraining' published i…
  ☆42Updated last year
• tengxiao1 / Awesome-Graph-Contrastive-Learning-with-Heterophily
  Papers about Graph Contrastive Learning and Graph Self-supervised Learning on Graphs with Heterophily
  ☆37Updated 2 years ago
• saper0 / adversarial_training
  Codebase used to generate the results for NeurIPS23 "Adversarial Training for Graph Neural Networks: Pitfalls, Solutions, and New Directi…
  ☆11Updated last year
• XweiQ / Benchmark-GraphFairness
  The repository of "Addressing Shortcomings in Fair Graph Learning Datasets: Towards a New Benchmark" (KDD'24)
  ☆12Updated last year
• CurryTang / LLMGNN
  Label-free Node Classification on Graphs with Large Language Models (LLMS)
  ☆87Updated last year
• QueuQ / SSM
  ☆10Updated 11 months ago
• squareRoot3 / GADBench
  "GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection" in NeurIPS 2023
  ☆133Updated last year
• mm-graph-benchmark / mm-graph-benchmark
  ☆33Updated last year
• CurryTang / TSGFM
  NIPS 24: Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights
  ☆47Updated 10 months ago
• Amanda-Zheng / SFGC
  Pytorch implementation of NeurIPS-23:"Structure-free Graph Condensation (SFGC): From Large-scale Graphs to Condensed Graph-free Data"
  ☆37Updated 2 years ago
• zknus / Graph-Diffusion-CDE
  Graph Neural Convection-Diffusion with Heterophily
  ☆11Updated 2 years ago
• liun-online / SpCo
  The source code of SpCo
  ☆35Updated 2 years ago
• NYUSHCS / GAugLLM
  Open Source Code for GAugLLM: Improving Graph Contrastive Learning for Text-Attributed Graphs with Large Language Models (KDD'24)
  ☆26Updated last year
• W-rudder / TEA-GLM
  ☆48Updated 11 months ago
• zjunet / GraphAdapter
  ☆26Updated last year
• yixinliu233 / ARC
  [NeurIPS'24] ARC: A Generalist Graph Anomaly Detector with In-Context Learning
  ☆27Updated 11 months ago
• Newiz430 / Pretext
  Resource for "A Survey on Self-Supervised Graph Foundation Models: Knowledge-Based Perspective"
  ☆36Updated 5 months ago
• ZhuYun97 / GraphCLIP
  Official implementation of GraphCLIP: Enhancing Transferability in Graph Foundation Models for Text-Attributed Graphs
  ☆54Updated 8 months ago
• zylMozart / Disentangle_GraphHom
  [Neurips 2024] Disentangled Graph Homophily
  ☆26Updated 9 months ago
• yixinliu233 / GREET
  [AAAI'23] Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating
  ☆53Updated 2 years ago
• caoyxuan / W2PGNN
  code for kdd feasibiiity
  ☆12Updated 2 years ago
• qiaoyu-tan / S2GAE
  ☆49Updated 2 years ago